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Published in: Abdominal Radiology 8/2016

01-08-2016

Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy?

Authors: Jung Min Bae, Chan Kyo Kim, Jung Jae Park, Byung Kwan Park

Published in: Abdominal Radiology | Issue 8/2016

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Abstract

Purpose

To retrospectively investigate the utility of diffusion-weighted imaging (DWI) for predicting clinical outcome after concurrent chemoradiotherapy (CCRT) in uterine cervical cancer.

Materials and methods

Seventy-four consecutive patients with biopsy-proven cervical cancer who received CCRT underwent DWI at 3T. All patients had MR examinations before therapy (preTx) and at 4 weeks of initiating therapy (midTx). At each point, ADC (apparent diffusion coefficient) was measured in the tumors and ADC change between preTx and midTx were also calculated. For predicting tumor recurrence, MR variables and clinical variables were evaluated and the results were compared.

Results

During a mean follow-up of 32.1 months, tumor recurrence developed in 15 (20%) patients: local recurrence (n = 7), distant metastasis (n = 5), and both (n = 3). MidTx tumor ADCs and tumor ADC changes between preTx and midTx were significantly different between the recurrence and non-recurrence groups (P < 0.05), while preTx tumor ADCs were not significantly different between the groups (P = 0.892). Univariate analysis revealed that histologic type, stage, preTx tumor size and volume, and tumor ADC change were significantly related to tumor recurrence (all P < 0.05). However, on multivariate analysis, tumor ADC changes [hazard ratio (HR) 0.886; 95% confidence interval (CI) 0.836–0.940; P = 0.001] and histological type (HR 6.063; 95% CI 1.404–26.187; P = 0.016) were the significant independent predictors of tumor recurrence.

Conclusion

Tumor ADC changes between preTx and midTx might be a useful biomarker for the prediction of cervical cancer recurrence after CCRT.
Literature
1.
go back to reference Rose PG, Bundy BN, Watkins EB, et al. (1999) Concurrent cisplatin-based radiotherapy and chemotherapy for locally advanced cervical cancer. N Engl J Med 340:1144–1153CrossRefPubMed Rose PG, Bundy BN, Watkins EB, et al. (1999) Concurrent cisplatin-based radiotherapy and chemotherapy for locally advanced cervical cancer. N Engl J Med 340:1144–1153CrossRefPubMed
2.
go back to reference Monk BJ, Tewari KS, Koh WJ (2007) Multimodality therapy for locally advanced cervical carcinoma: state of the art and future directions. J Clin Oncol 25:2952–2965CrossRefPubMed Monk BJ, Tewari KS, Koh WJ (2007) Multimodality therapy for locally advanced cervical carcinoma: state of the art and future directions. J Clin Oncol 25:2952–2965CrossRefPubMed
3.
go back to reference Eisenhauer EA, Therasse P, Bogaerts J, et al. (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247CrossRefPubMed Eisenhauer EA, Therasse P, Bogaerts J, et al. (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247CrossRefPubMed
4.
go back to reference Harry VN, Semple SI, Gilbert FJ, Parkin DE (2008) Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer. Gynecol Oncol 111:213–220CrossRefPubMed Harry VN, Semple SI, Gilbert FJ, Parkin DE (2008) Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer. Gynecol Oncol 111:213–220CrossRefPubMed
5.
go back to reference Kim HS, Kim CK, Park BK, Huh SJ, Kim B (2013) Evaluation of therapeutic response to concurrent chemoradiotherapy in patients with cervical cancer using diffusion-weighted MR imaging. J Magn Reson Imaging 37:187–193CrossRefPubMed Kim HS, Kim CK, Park BK, Huh SJ, Kim B (2013) Evaluation of therapeutic response to concurrent chemoradiotherapy in patients with cervical cancer using diffusion-weighted MR imaging. J Magn Reson Imaging 37:187–193CrossRefPubMed
6.
go back to reference Britten RA, Evans AJ, Allalunis-Turner MJ, Franko AJ, Pearcey RG (1996) Intratumoral heterogeneity as a confounding factor in clonogenic assays for tumour radioresponsiveness. Radiother Oncol 39:145–153CrossRefPubMed Britten RA, Evans AJ, Allalunis-Turner MJ, Franko AJ, Pearcey RG (1996) Intratumoral heterogeneity as a confounding factor in clonogenic assays for tumour radioresponsiveness. Radiother Oncol 39:145–153CrossRefPubMed
8.
go back to reference Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 188:1622–1635CrossRefPubMed Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 188:1622–1635CrossRefPubMed
9.
go back to reference Park JJ, Kim CK, Park SY, et al. (2014) Assessment of early response to concurrent chemoradiotherapy in cervical cancer: value of diffusion-weighted and dynamic contrast-enhanced MR imaging. Magn Reson Imaging 32:993–1000CrossRefPubMed Park JJ, Kim CK, Park SY, et al. (2014) Assessment of early response to concurrent chemoradiotherapy in cervical cancer: value of diffusion-weighted and dynamic contrast-enhanced MR imaging. Magn Reson Imaging 32:993–1000CrossRefPubMed
10.
go back to reference Makino H, Kato H, Furui T, Morishige K, Kanematsu M (2014) Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for uterine cervical cancer. J Obstet Gynaecol Res 40:1098–1104CrossRefPubMed Makino H, Kato H, Furui T, Morishige K, Kanematsu M (2014) Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for uterine cervical cancer. J Obstet Gynaecol Res 40:1098–1104CrossRefPubMed
11.
go back to reference Kuang F, Yan Z, Wang J, Rao Z (2014) The value of diffusion-weighted MRI to evaluate the response to radiochemotherapy for cervical cancer. Magn Reson Imaging 32:342–349CrossRefPubMed Kuang F, Yan Z, Wang J, Rao Z (2014) The value of diffusion-weighted MRI to evaluate the response to radiochemotherapy for cervical cancer. Magn Reson Imaging 32:342–349CrossRefPubMed
12.
go back to reference Schreuder SM, Lensing R, Stoker J, Bipat S (2015) Monitoring treatment response in patients undergoing chemoradiotherapy for locally advanced uterine cervical cancer by additional diffusion-weighted imaging: a systematic review. J Magn Reson Imaging 42:572–594CrossRefPubMed Schreuder SM, Lensing R, Stoker J, Bipat S (2015) Monitoring treatment response in patients undergoing chemoradiotherapy for locally advanced uterine cervical cancer by additional diffusion-weighted imaging: a systematic review. J Magn Reson Imaging 42:572–594CrossRefPubMed
13.
go back to reference Yu JI, Park HC, Lim do H, et al. (2014) The role of diffusion-weighted magnetic resonance imaging in the treatment response evaluation of hepatocellular carcinoma patients treated with radiation therapy. Int J Radiat Oncol Biol Phys 89:814–821CrossRefPubMed Yu JI, Park HC, Lim do H, et al. (2014) The role of diffusion-weighted magnetic resonance imaging in the treatment response evaluation of hepatocellular carcinoma patients treated with radiation therapy. Int J Radiat Oncol Biol Phys 89:814–821CrossRefPubMed
14.
go back to reference Matoba M, Tuji H, Shimode Y (2014) Fractional change in apparent diffusion coefficient as an imaging biomarker for predicting treatment response in head and neck cancer treated with chemoradiotherapy. AJNR Am J Neuroradiol 35:379–385CrossRefPubMed Matoba M, Tuji H, Shimode Y (2014) Fractional change in apparent diffusion coefficient as an imaging biomarker for predicting treatment response in head and neck cancer treated with chemoradiotherapy. AJNR Am J Neuroradiol 35:379–385CrossRefPubMed
15.
go back to reference Heo SH, Shin SS, Kim JW, et al. (2013) Pre-treatment diffusion-weighted MR imaging for predicting tumor recurrence in uterine cervical cancer treated with concurrent chemoradiation: value of histogram analysis of apparent diffusion coefficients. Korean J Radiol 14:616–625CrossRefPubMedPubMedCentral Heo SH, Shin SS, Kim JW, et al. (2013) Pre-treatment diffusion-weighted MR imaging for predicting tumor recurrence in uterine cervical cancer treated with concurrent chemoradiation: value of histogram analysis of apparent diffusion coefficients. Korean J Radiol 14:616–625CrossRefPubMedPubMedCentral
16.
go back to reference Pecorelli S, Zigliani L, Odicino F (2009) Revised FIGO staging for carcinoma of the cervix. Int J Gynaecol Obstet 105:107–108CrossRefPubMed Pecorelli S, Zigliani L, Odicino F (2009) Revised FIGO staging for carcinoma of the cervix. Int J Gynaecol Obstet 105:107–108CrossRefPubMed
17.
go back to reference Kosary CL (1994) FIGO stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973-87 SEER cases of cancers of the endometrium, cervix, ovary, vulva, and vagina. Semin Surg Oncol 10:31–46CrossRefPubMed Kosary CL (1994) FIGO stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973-87 SEER cases of cancers of the endometrium, cervix, ovary, vulva, and vagina. Semin Surg Oncol 10:31–46CrossRefPubMed
18.
go back to reference Macdonald OK, Chen J, Dodson M, Lee CM, Gaffney DK (2009) Prognostic significance of histology and positive lymph node involvement following radical hysterectomy in carcinoma of the cervix. Am J Clin Oncol 32:411–416CrossRefPubMed Macdonald OK, Chen J, Dodson M, Lee CM, Gaffney DK (2009) Prognostic significance of histology and positive lymph node involvement following radical hysterectomy in carcinoma of the cervix. Am J Clin Oncol 32:411–416CrossRefPubMed
19.
go back to reference Burghardt E, Pickel H, Haas J, Lahousen M (1987) Prognostic factors and operative treatment of stages IB to IIB cervical cancer. Am J Obstet Gynecol 156:988–996CrossRefPubMed Burghardt E, Pickel H, Haas J, Lahousen M (1987) Prognostic factors and operative treatment of stages IB to IIB cervical cancer. Am J Obstet Gynecol 156:988–996CrossRefPubMed
20.
go back to reference Liu Y, Bai R, Sun H, et al. (2009) Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation. Clin Radiol 64:1067–1074CrossRefPubMed Liu Y, Bai R, Sun H, et al. (2009) Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation. Clin Radiol 64:1067–1074CrossRefPubMed
21.
go back to reference McVeigh PZ, Syed AM, Milosevic M, Fyles A, Haider MA (2008) Diffusion-weighted MRI in cervical cancer. Eur Radiol 18:1058–1064CrossRefPubMed McVeigh PZ, Syed AM, Milosevic M, Fyles A, Haider MA (2008) Diffusion-weighted MRI in cervical cancer. Eur Radiol 18:1058–1064CrossRefPubMed
22.
go back to reference Hamstra DA, Rehemtulla A, Ross BD (2007) Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 25:4104–4109CrossRefPubMed Hamstra DA, Rehemtulla A, Ross BD (2007) Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 25:4104–4109CrossRefPubMed
23.
go back to reference Somoye G, Harry V, Semple S, et al. (2012) Early diffusion weighted magnetic resonance imaging can predict survival in women with locally advanced cancer of the cervix treated with combined chemo-radiation. Eur Radiol 22:2319–2327CrossRefPubMed Somoye G, Harry V, Semple S, et al. (2012) Early diffusion weighted magnetic resonance imaging can predict survival in women with locally advanced cancer of the cervix treated with combined chemo-radiation. Eur Radiol 22:2319–2327CrossRefPubMed
24.
go back to reference Sevin BU, Lu Y, Bloch DA, Nadji M, Koechli OR, Averette HE (1996) Surgically defined prognostic parameters in patients with early cervical carcinoma. A multivariate survival tree analysis. Cancer 78:1438–1446CrossRefPubMed Sevin BU, Lu Y, Bloch DA, Nadji M, Koechli OR, Averette HE (1996) Surgically defined prognostic parameters in patients with early cervical carcinoma. A multivariate survival tree analysis. Cancer 78:1438–1446CrossRefPubMed
25.
go back to reference Charles-Edwards EM, Messiou C, Morgan VA, et al. (2008) Diffusion-weighted imaging in cervical cancer with an endovaginal technique: potential value for improving tumor detection in stage Ia and Ib1 disease. Radiology 249:541–550CrossRefPubMed Charles-Edwards EM, Messiou C, Morgan VA, et al. (2008) Diffusion-weighted imaging in cervical cancer with an endovaginal technique: potential value for improving tumor detection in stage Ia and Ib1 disease. Radiology 249:541–550CrossRefPubMed
Metadata
Title
Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy?
Authors
Jung Min Bae
Chan Kyo Kim
Jung Jae Park
Byung Kwan Park
Publication date
01-08-2016
Publisher
Springer US
Published in
Abdominal Radiology / Issue 8/2016
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-016-0730-y

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